• DocumentCode
    2516840
  • Title

    Improving situational awareness with radar information

  • Author

    Clarke, Bryan ; Worrall, Stewart ; Brooker, Graham ; Martinez, Javier ; Nebot, Eduardo

  • Author_Institution
    Australian Centre of Field Robot., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    535
  • Lastpage
    540
  • Abstract
    This paper addresses the issue of improving situational awareness for large vehicles operating in all weather conditions. A new short-range 24GHz close proximity detection (CPD) microwave radar technology for providing situational awareness to the driver of large vehicles is presented. A series of experiments are performed in which the radar is used to detect a variety of static targets. The CPD radar is able to detect light vehicles at ranges from 2.2m to 17.6m within a horizontal arc of 160° with superior angular resolution to many existing low-cost radars. From this data, key characteristics of the radar´s performance and the radar cross-section of light vehicles at 24GHz are calculated. The data gathered allows the design of future tests and the development of a model of the radar that allows a better understanding of its performance characteristics and can be used for occupancy grid mapping.
  • Keywords
    climatology; radar cross-sections; radar detection; radar resolution; radar tracking; road vehicle radar; target tracking; CPD microwave radar technology; angular resolution; close proximity detection; distance 2.2 m to 17.6 m; frequency 24 GHz; light vehicle; low-cost radar; occupancy grid mapping; radar cross-section; radar information; radar performance; radar target detection; situational awareness; static target; vehicle detection; weather condition; Power measurement; Radar antennas; Radar cross section; Radar detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232211
  • Filename
    6232211